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MIT Engineers

Season: 2026 2022 2015 2013 2012 2011 2010 2009
Also known as: MIT Engineers
Program History

2026 Team Stats (1 games)

50.0
PPG
79.0
Opp
-29.0
Margin
27.8%
FG%
10.7%
3P%
85.0%
FT%
34.0
RPG
6.0
APG
12.0
TO
74.8
Pace

Model Outputs

2025-2026
Catalog

Output is shown as model rating with league rank in parentheses when available.

Model Output Notes
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +109 elo More → 998 (#230) HCA +109 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.5 More → -4.2 (#410) HCA +2.5
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 72.7 | AdjD 73.3 More → 0.486 (#304) AdjO 72.7 | AdjD 73.3
Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. Blend of Elo, BT, Margin, PythLog, PtsOD More → 0.362 (#426) Blend of Elo, BT, Margin, PythLog, PtsOD
Recency Ensemble Recency Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and recency points off/def. Blend of Elo, BT, Margin, PythLog, PtsOD More → 0.382 (#421) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 350 | GP 1 More → 929 (#379) RD 350 | GP 1

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-07 @ Harvard Crimson L 50 - 79

2026 Roster

Minutes by Position

The surface stays filled across the five on-court roles. Use the labels or legend to isolate how each player absorbs guard-to-big minutes.

Player Pos GP MIN PTS REB AST STL BLK TO FGA Numbers PM PM/G PM/40 FG% 3P% FT% RAPM TS% eFG%
I. Dobie I. Dobie - 1 29.0 17.0 6.0 1.0 1.0 0.0 3.0 12.0 10.0 - - - 41.7 14.3 75.0 - 54.8 45.8
J. Weiland J. Weiland - 1 31.0 11.0 9.0 2.0 1.0 0.0 1.0 4.0 18.0 - - - 75.0 50.0 100.0 - 95.5 87.5
M. Ewing M. Ewing - 1 22.0 9.0 0.0 0.0 1.0 0.0 1.0 6.0 3.0 - - - 33.3 50.0 100.0 - 58.0 41.7
R. Delgado-Gonzalez R. Delgado-Gonzalez - 1 35.0 8.0 5.0 0.0 0.0 0.0 1.0 9.0 3.0 - - - 33.3 0.0 100.0 - 40.5 33.3
M. Zhang M. Zhang - 1 32.0 3.0 1.0 1.0 0.0 0.0 1.0 13.0 -9.0 - - - 7.7 0.0 50.0 - 10.8 7.7
W. Mowery W. Mowery - 1 23.0 2.0 6.0 2.0 1.0 3.0 1.0 8.0 5.0 - - - 12.5 0.0 0 - 12.5 12.5
Woods Windham Woods Windham G 0 - 0.0 0.0 0.0 - - - - - - - - - - - - - -
Will Bland Will Bland G 0 - 0.0 0.0 0.0 - - - - - - - - - - - - - -
S. Chen S. Chen - 1 10.0 0.0 1.0 0.0 0.0 0.0 1.0 0.0 0.0 - - - 0 0 0 - 0 0
Daniel Allen Daniel Allen G 0 - 0.0 0.0 0.0 - - - - - 167 8.8 16.2 - - - 1.62 - -
Parker Spann Parker Spann F 0 - 0.0 0.0 0.0 - - - - - - - - - - - - - -
H. Marshall H. Marshall - 1 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - 0 0 0 - 0 0
M. Gogolin M. Gogolin - 1 17.0 0.0 3.0 0.0 0.0 0.0 3.0 2.0 -2.0 - - - 0.0 0 0 - 0.0 0.0
Paulius Karvelis Paulius Karvelis G 0 - 0.0 0.0 0.0 - - - - - - - - - - - - - -
Yusuf Young Yusuf Young G 0 - 0.0 0.0 0.0 - - - - - - - - - - - - - -
Dusan Dobric Dusan Dobric C 0 - 0.0 0.0 0.0 - - - - - - - - - - - - - -

Numbers/Game vs RAPM

Not enough players with both Numbers/Game and RAPM to plot.

Advanced: Numbers = PTS+REB+AST+STL+BLK-TO-FGA, PM = total +/-, PM/G = per game, PM/40 = per 40 minutes, RAPM = Regularized Adj Plus-Minus, TS% = True Shooting, eFG% = Effective FG